AI Prompt Engineer (India)

Rex.zone; India; Remote; INR 3,866,043 - 6,443,405; Full time

Job summary

A tech company is seeking an AI Prompt Engineer to design, test, and optimize prompts in remote settings. Responsibilities include managing the prompt lifecycle, evaluating quality metrics, and improving reliability using advanced ML techniques. Required qualifications include at least 3 years of experience in software engineering or ML/NLP workflows, strong writing skills, and proficiency in Python. The role offers a competitive hourly rate, and is suitable for candidates located in India.

Qualifications

• 3+ years in software engineering or LLM prompt engineering.
• Strong structured writing skills and experience in ML workflows.
• Familiarity with RLHF concepts and human feedback loops.

Responsibilities

• Manage prompt lifecycle including writing and library maintenance.
• Design evaluation plans for accuracy and compliance.
• Monitor quality metrics across releases.

Skills

Software engineering

ML/NLP workflows

Applied LLM prompt engineering

Structured writing

Python programming

Tools

Notebooks

Scripts

JSON

APIs

Job description

AI Prompt Engineer Jobs in India (Remote, Full-Time) — Rex.zone

Design, test, and optimize prompts and evaluation workflows that improve LLM performance in real production pipelines. You will collaborate with engineers and researchers to build prompt libraries, run A/B tests, define rubrics, and improve reliability, groundedness, and safety across assistants, copilots, agents, and RAG systems.

Key Responsibilities

• Own prompt lifecycle management: writing, debugging, versioning, and prompt library maintenance
• Design prompt evaluation plans using rubrics for accuracy, completeness, instruction following, tone, and policy compliance
• Create RLHF-style preference/ranking data with clear rationales to support instruction tuning workflows
• Translate product requirements into system prompts, developer prompts, and user prompt patterns
• Improve grounding and reduce hallucinations using RAG strategies and citation/traceability constraints
• Create annotation guidelines and support QA evaluation (edge cases, escalation paths, consistency checks)
• Monitor quality metrics (pass rate, inter-annotator agreement, regression failures) across releases
• Support safety alignment: red-teaming prompts, jailbreak resistance, and sensitive data leakage prevention

Required Qualifications

• 3+ years in software engineering, ML/NLP workflows, or applied LLM prompt engineering
• Strong structured writing for precise instructions and multi-step constraints
• Experience with LLM evaluation: rubrics, pairwise ranking, golden sets, adversarial testing
• Familiarity with RLHF concepts and human feedback loops
• Working knowledge of Python and experimentation tooling (notebooks, scripts, JSON, APIs)

Preferred Qualifications

• Experience with RAG pipelines, vector search, embeddings evaluation, and grounded answer validation
• Knowledge of content safety labeling, policy taxonomy, and prompt-based guardrails
• Experience with LLM observability/eval tooling (regression suites, eval harnesses)

Compensation

Competitive hourly rate: $30–$50/hr

FAQs

• What does an AI prompt engineer do? They design and optimize prompts, build templates/system instructions, run evaluations and A/B tests, and create feedback data to improve reliability and safety.
• Is this role remote? Yes, this posting is marked Remote and designed for distributed collaboration while targeting candidates based in India.